Computing aspects of power for multiple regression

Behavior Research Methods, Instruments, and Computers

Volumn 36, Issue 4, 2004, Pages 695-701

  Dunlap, William P ^a   Xin, Xue ^a   Myers, Leann ^a,b  

^a TULANE UNIVERSITY   (United States)

^b TULANE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 13844254314     PISSN: 07433808     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03206551     Document Type: Article

References (13)

1. BORENSTEIN, M., ROTHSTEIN, H., & COHEN, J. (1997). Power and precision. Teaneck, NJ: Biostat.
2. CASCIO, W. F. (2000). Costing human resources: The financial impact of behavior in organizations. Cincinnati, OH: South-Western College Publishing.
3. COHEN, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
4. DING, C. G., & BARGMANN, R. E. (1991). Algorithm AS 260: Evaluation of the distribution of the square of the sample multiple-correlation coefficient. Applied Statistics, 40, 195-198.
5. DUNLAP, W. P., & LANDIS, R. S. (1998). Interpretations of multiple regression borrowed from factor analysis and canonical correlation. Journal of General Psychology, 125, 397-407.
6. GATSONIS, C., & SAMPSON, A. R. (1989). Multiple correlation: Exact power and sample size calculations. Psychological Bulletin, 106, 516-524.
7. GREEN, S. B. (1991). How many subjects does it take to do a regression analysis? Multivariate Behavioral Research, 26, 499-510.
8. INTERNATIONAL MATHEMATICAL AND STATISTICAL LIBRARIES (1982). International mathematical and statistical libraries reference manual (9th ed.). Houston, TX: Author.
9. MAXWELL, S. E. (2000). Sample size and multiple regression analysis. Psychological Methods, 5, 434-458.
10. MYERS, J. L., & WELL, A. D. (1995). Research design and statistical analysis. Hillsdale, NJ: Erlbaum.
11. ROTHSTEIN, H. R., BORENSTEIN, M., COHEN, J., & POLLACK, S. (1990). Statistical power analysis for multiple regression/correlation: A computer program. Educational & Psychological Measurement, 50, 819-830.
12. SAMPSON, A. R. (1974). A tale of two regressions. Journal of the American Statistical Association, 69, 682-689.
13. TABACHNICK, B. G., & FIDELL, L. S. (1996). Using multivariate statistics (3rd ed.). New York: HarperCollins.